modified harmony search algorithm based unit commitment with plug-in hybrid electric vehicles

plug-in hybrid electric vehicles (phev) technology shows great interest in the recent scientificliteratures. vehicle-to-grid (v2g) is a interconnection of energy storage of phevs and grid. byimplementation of v2g dependencies of the power system on small expensive conventional units canbe reduced, resulting in reduced operational cost. this paper represents an intelligent unitcommitment (uc) with v2g optimization based on modified harmony search algorithm (mhsa).mhsa was conceptualized using the musical process of searching for a perfect state of harmony, justas the optimization process seeks to find a global solution that is determined by an objective function.intelligent uc with v2g optimization in power system is presented in this paper. since the number ofphev in v2g is relatively high, uc with v2g optimization problem is more complex than the basicuc.a case study based on conventional 10-unit test system is conducted to facilitate the effectiveness ofthe proposed method. results show a significant amount of cost reduction with integration of v2g inuc problem. comparison of the results with those obtained by particle swarm optimization showsthe effectiveness of the proposed method.